Skip to content

Please consider the following formatting changes to #15591 #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
alibuild wants to merge 1 commit into from
Closed

Please consider the following formatting changes to #15591 #7

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
66 changes: 33 additions & 33 deletions PWGHF/TableProducer/treeCreatorXicToXiPiPi.cxx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -78,9 +78,9 @@
DECLARE_SOA_COLUMN(ImpactParameterPi1, impactParameterPi1, float); //! Normalised impact parameter of Pi1 (prong2)
DECLARE_SOA_COLUMN(ImpactParameterNormalisedPi1, impactParameterNormalisedPi1, float); //! Normalised impact parameter of Pi1 (prong2)
DECLARE_SOA_COLUMN(MaxNormalisedDeltaIP, maxNormalisedDeltaIP, float); //! Maximum normalized difference between measured and expected impact parameter of candidate prongs
DECLARE_SOA_COLUMN(MlScoreBkg, mlScoreBkg, float); //! ML score for background class
DECLARE_SOA_COLUMN(MlScorePrompt, mlScorePrompt, float); //! ML score for prompt signal class
DECLARE_SOA_COLUMN(MlScoreNonPrompt, mlScoreNonPrompt, float); //! ML score for non-prompt signal class (3-class model only, -1 otherwise)
DECLARE_SOA_COLUMN(MlScoreBkg, mlScoreBkg, float); //! ML score for background class
DECLARE_SOA_COLUMN(MlScorePrompt, mlScorePrompt, float); //! ML score for prompt signal class
DECLARE_SOA_COLUMN(MlScoreNonPrompt, mlScoreNonPrompt, float); //! ML score for non-prompt signal class (3-class model only, -1 otherwise)
} // namespace full

DECLARE_SOA_TABLE(HfCandXicToXiPiPiLites, "AOD", "HFXICXI2PILITE",
Expand Down Expand Up @@ -410,7 +410,7 @@
void init(InitContext const&)
{
std::array<bool, 6> doprocess{doprocessData, doprocessDataKf, doprocessDataWithML, doprocessMc, doprocessMcKf, doprocessMcWithML};
if (std::accumulate(doprocess.begin(), doprocess.end(),0) != 1) {
if (std::accumulate(doprocess.begin(), doprocess.end(), 0) != 1) {
LOGP(fatal, "Only one process function can be enabled at a time.");
}
}
Expand Down Expand Up @@ -683,40 +683,40 @@
if (scoreSize > 0) {
mlScoreBkg = candidate.mlProbXicToXiPiPi()[0];
mlScorePrompt = candidate.mlProbXicToXiPiPi()[1];
if (scoreSize > 2) {

Check failure on line 686 in PWGHF/TableProducer/treeCreatorXicToXiPiPi.cxx

View workflow job for this annotation

GitHub Actions / O2 linter

[magic-number] 

Avoid magic numbers in expressions. Assign the value to a clearly named variable or constant.
mlScoreNonPrompt = candidate.mlProbXicToXiPiPi()[2];
}
}
rowCandidateLiteMl(
particleFlag,
originMc,
candidate.isSelXicToXiPiPi(),
candidate.y(o2::constants::physics::MassXiCPlus),
candidate.eta(),
candidate.phi(),
candidate.p(),
candidate.pt(),
candidate.invMassXicPlus(),
candidate.invMassXi(),
candidate.invMassLambda(),
candidate.decayLength(),
candidate.decayLengthXY(),
candidate.cpa(),
candidate.cpaXY(),
candidate.cpaXi(),
candidate.cpaXYXi(),
candidate.cpaLambda(),
candidate.cpaXYLambda(),
candidate.impactParameter0(),
candidate.impactParameterNormalised0(),
candidate.impactParameter1(),
candidate.impactParameterNormalised1(),
candidate.impactParameter2(),
candidate.impactParameterNormalised2(),
candidate.maxNormalisedDeltaIP(),
mlScoreBkg,
mlScorePrompt,
mlScoreNonPrompt);
particleFlag,
originMc,
candidate.isSelXicToXiPiPi(),
candidate.y(o2::constants::physics::MassXiCPlus),
candidate.eta(),
candidate.phi(),
candidate.p(),
candidate.pt(),
candidate.invMassXicPlus(),
candidate.invMassXi(),
candidate.invMassLambda(),
candidate.decayLength(),
candidate.decayLengthXY(),
candidate.cpa(),
candidate.cpaXY(),
candidate.cpaXi(),
candidate.cpaXYXi(),
candidate.cpaLambda(),
candidate.cpaXYLambda(),
candidate.impactParameter0(),
candidate.impactParameterNormalised0(),
candidate.impactParameter1(),
candidate.impactParameterNormalised1(),
candidate.impactParameter2(),
candidate.impactParameterNormalised2(),
candidate.maxNormalisedDeltaIP(),
mlScoreBkg,
mlScorePrompt,
mlScoreNonPrompt);
}
}

Expand Down
Loading